Salary Range: 82000 to 100000 (Currency: GBP) (Pay period: per-year-salary)

As a Technical Engagement Manager at Starburst you will:

• Establish trust and credibility by demonstrating deep Data & AI industry knowledge, understanding of the buyer’s organization, and a track record of successful engagements.
• Build and nurture strong relationships with the champion, who serves as the internal advocate for the engagement within the customer organization.
• Provide technical guidance and best practices to customers on using Starburst products effectively.
• Offer support and guidance to the champion throughout the engagement process, helping them navigate internal processes and mobilize resources as needed.
• Proactively address concerns and objections raised by other stakeholders, leveraging insights from the champion and executive buyer to overcome obstacles and drive alignment.
• Solicit feedback from other stakeholders throughout the engagement process, incorporating their input to enhance service delivery and customer satisfaction.
• Collaborate with sales teams to understand customer needs and objectives to identify new use cases and/or adoption opportunities.
• Lead the scoping process to define the appropriate set of services to meet customer requirements.
• Drive adoption of Starburst culminating in the Customer reaching its success criteria.
• Partner with internal teams, including consultants, engineers, and project managers, to ensure successful delivery of services.
• Manage multiple engagements simultaneously, ensuring on-time and on-budget delivery.
• Serve as the primary point of contact for customers throughout the engagement lifecycle.
• Monitor and report on key performance indicators (KPIs) to track the success of engagements.
• Drive continuous improvement in processes and methodologies to enhance customer satisfaction and project delivery efficiency.

Some of the things we look for:

• Bachelor’s degree in business, technology, or a related field.
• Deep understanding of data architecture principles, including data modeling, data integration, and data warehousing.
• Proficiency in SQL and experience with distributed query engines (e.g., Presto, Trino, Apache Spark).
• Strong problem-solving skills and the ability to think strategically about business challenges and technical solutions.
• Proven track record of successfully managing customer engagements and delivering business outcomes.
• Excellent communication and interpersonal skills, with the ability to build strong relationships with customers and internal teams.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.